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Effective Connectivity in the Primary Somatosensory Network using Combined EEG and MEG

文献类型： 会议论文

第一作者： Konstantinos Politof

作者： Konstantinos Politof 1 ; Marios Antonakakis 2 ; Andreas Wollbrink 3 ; Michalis Zervakis 1 ; Carsten H. Wolters 3 ;

作者机构： 1.School of Electrical & Computer Engineering Technical University of Crete

2.Institute for Biomagnetism & Biosignalanalysis

3.Institute for Biomagnetism and Biosignalanalysis

关键词： Primary somatosensory cortex;Electroencephalography;Magnetoencephalography;Functional source separation;Finite element modeling;Source analysis;Connectivity analysis

会议名称： IEEE International Conference on Bioinformatics and Bioengineering

主办单位：

页码： 593-597

摘要： The primary somatosensory cortex remains one of the most investigated brain areas. However, there is still an absence of an integrated methodology to describe the early temporal alterations in the primary somatosensory network. Source analysis based on combined Electro-(EEG) and Magneto- (MEG) Encephalography (EMEG) has been recently shown to outperform the one's based on single modality EEG or MEG. The study and potential of combined EMEG form the goal of the current study, which investigates the time-variant connectivity of the primary somatosensory network. A subject-individualized pipeline combines a functional source separation approach with the effective connectivity analysis of different spatiotemporal source patterns using a realistic and skull-conductivity calibrated head model. Three-time windows are chosen for each modality EEG, MEG, and EMEG to highlight the thalamocortical and corticocortical interactions. The results show that EMEG is promising in suppressing a so-called connectivity 'leakage' effect when later components seem to influence earlier components, just due to too similar leadfields. Our current results support the notion that EMEG is superior in suppressing the spurious flows within a network of very rapid alterations.

分类号： Q811.4-53

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